Zhifan Gao

Zhifan Gao (M’18) received the B.S. and M.E. degree in electronics and information engineering from Huazhong University of Science and Technology, Wuhan, China, in 2009 and 2011, respectively, and the Ph.D. degree in Pattern Recognition and Intelligent Systems from University of Chinese Academy of Sciences, China, in 2017.

He is currently a postdoctoral fellow at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. His research focuses on medical image processing, computer vision and machine learning.

Contributions

The prominent advantage of meshfree method, is the way to build the representation of computational domain, based on the nodal points without any explicit meshing connectivity. Therefore, meshfree method can conveniently process the numerical computation inside interested domains with large deformation or inhomogeneity. In this paper, we adopt the idea of meshfree representation into cardiac medical image analysis in order to overcome the difficulties caused by large deformation and inhomogeneous materials of the heart.